Triple
T3358289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Incredibles 2 |
E70656
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Erik Smitt
Erik Smitt is a cinematographer best known for his work on the animated superhero film "Incredibles 2."
|
E351043
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Erik Smitt | Statement: [Incredibles 2, cinematographyBy, Erik Smitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erik Smitt Context triple: [Incredibles 2, cinematographyBy, Erik Smitt]
-
A.
Andreas Norlén
Andreas Norlén is a Swedish politician who serves as the Speaker of the Riksdag, Sweden’s national legislature.
-
B.
Jesper Mattsson
Jesper Mattsson is a Swedish former professional ice hockey forward known for his long career in the Swedish leagues and contributions to teams like Malmö Redhawks and the national team.
-
C.
Erik Carlsson
Erik Carlsson was a legendary Swedish rally driver famed for his success in international competitions during the 1950s and 1960s, particularly with Saab.
-
D.
Anders Hagfeldt
Anders Hagfeldt is a Swedish chemist and academic leader known for his research in solar cell technology and his role as a university administrator.
-
E.
Erik Renström
Erik Renström is a Swedish academic and professor who serves as the rector (vice-chancellor) of Lund University.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Erik Smitt Triple: [Incredibles 2, cinematographyBy, Erik Smitt]
Generated description
Erik Smitt is a cinematographer best known for his work on the animated superhero film "Incredibles 2."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erik Smitt Target entity description: Erik Smitt is a cinematographer best known for his work on the animated superhero film "Incredibles 2."
-
A.
Andreas Norlén
Andreas Norlén is a Swedish politician who serves as the Speaker of the Riksdag, Sweden’s national legislature.
-
B.
Jesper Mattsson
Jesper Mattsson is a Swedish former professional ice hockey forward known for his long career in the Swedish leagues and contributions to teams like Malmö Redhawks and the national team.
-
C.
Erik Carlsson
Erik Carlsson was a legendary Swedish rally driver famed for his success in international competitions during the 1950s and 1960s, particularly with Saab.
-
D.
Anders Hagfeldt
Anders Hagfeldt is a Swedish chemist and academic leader known for his research in solar cell technology and his role as a university administrator.
-
E.
Erik Renström
Erik Renström is a Swedish academic and professor who serves as the rector (vice-chancellor) of Lund University.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad85a660c48190998489309a3b4869 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb26523cc819091006fde7beb32e4 |
completed | March 8, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3253e91988190bbfdafdf88ab0df1 |
completed | March 12, 2026, 8:42 p.m. |
| NEDg | Description generation | batch_69b326cc82788190b68f1db043f21055 |
completed | March 12, 2026, 8:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3276b55a0819094face2e56001921 |
completed | March 12, 2026, 8:51 p.m. |
Created at: March 8, 2026, 3:13 p.m.